Security | Threat Detection | Cyberattacks | DevSecOps | Compliance


Identify Malicious Code: Examples to Defend Your SDLC

A malicious code, commonly known as malware is simply a software created to harm computer systems and applications, make changes to networks, and the victim completely unaware. Unlike accidental security flaws and applications’ configuration failures, which are occurring because of irrelevant mistakes like coding mistakes or other mistakes during development activities, deliberate code is purposely designed in order to cause some harm.

A Timely Shift: Prioritizing Software Security in the 2024 Digital Landscape

The release of the February 2024 White House Technical Report, Back to the Building Blocks: A Path Towards Secure Measurable Software, brings about a timely shift in prioritizing software security. Software is ubiquitous, so it’s becoming increasingly crucial to address the expanding attack surface, navigate complex regulatory environments, and mitigate the risks posed by sophisticated software supply chain attacks.

How AI is changing software's role in the SDLC

In the ever-evolving landscape of software development, artificial intelligence (AI) is emerging as a transformative force, reshaping the software development lifecycle. While AI use is still not without risk, it's time to reframe the conversation and explore how AI can enhance and streamline various stages of the SDLC. Let’s take a look at how you can strategically incorporate AI in the SDLC and address lingering concerns.

Protecting your SDLC from a supply chain attack

Did you know that nine out of 10 companies detected software supply chain risks in the past 12 months? The increase in the number of dependencies in a supply chain has extended the attack surface for adversaries. It has also caused threat actors to shift their focus from the downstream chain affecting just end users to the upstream chain affecting vendors, customers, and end users alike.

Best practices for using AI in the SDLC

AI has become a hot topic thanks to the recent headlines around the large language model (LLM) AI with a simple interface — ChatGPT. Since then, the AI field has been vibrant, with several major actors racing to provide ever-bigger, better, and more versatile models. Players like Microsoft, NVidia, Google, Meta, and open source projects have all published a list of new models. In fact, a leaked Google document makes it seem that these models will be ubiquitous and available to everyone soon.

What is Code Signing SDLC?

Today, an intricate web of tools, programs, and individuals collaborates to bring applications to life. This interconnected network, the software supply chain, encompasses the various entities and processes that shape the software development lifecycle (SDLC), including developers, dependencies, network interfaces, and DevOps practices. Given the diverse nature of these components, ensuring the security of each element becomes paramount.

AppSec integrations enable a more secure SDLC

AppSec integrations can help keep development secure at the speed your business requires. Whether you’re building software, selling it, or using it to run your business, in today’s fully digitized environment, every business is, necessarily, a software business. And to keep your business running at the speed today’s competitive environment requires, you increasingly depend on technology.

Where There's No Code, There's No SDLC

When developing applications, organizations rely heavily on the software development lifecycle (SDLC) to engrain security into the development process early and continuously. The SDLC lays out how to build security into early steps as developers are creating and testing applications. As such, organizations are able to embed security practices when it matters most.